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Semi-dynamic Green Resource Management in Downlink Heterogeneous Networks by Group Sparse Power Control

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Original languageEnglish
JournalIEEE Journal on Selected Areas in Communications
Early online date22 Mar 2016
DOIs
StatePublished - 1 May 2016

Abstract

This paper addresses the energy-saving problem for the downlink of heterogeneous networks, which aims at minimizing the total base stations (BSs) power consumption while each user’s rate requirement is supported. The basic idea of this work is to make use of the flexibility and scalability of the system
such that more benefits can be gained by efficient resource management. This motivates us to propose a flexible BS power consumption model, which includes the load-dependent signal processing circuit power and thus leads to multiple sleeping modes rather than the ”on/off” binary decision for BSs to
scale their power consumption. To denote these sleeping modes, we employ the group sparsity of the transmit power vector instead of the f0; 1g variables. Based on this power model, a semi-dynamic green resource management mechanism is proposed, which enables to jointly solve a series of resource
management problems, such as BS association and the frequency carriers (FCs) assignment, and the transmit power allocation, by group sparse power control based on the large scale fading values. In particular, the successive convex approximation (SCA)-based algorithm is applied to solve a stationary
solution to the original non-convex problem. Simulation results also verify the proposed BS power model and the green resource management mechanism.

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